Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to ODI and Architecture
- ODI concepts: The ELT approach and its differences from traditional ETL.
- Core components: Repositories, Agents, Topology, and Security.
- Installation overview and environment layout.
ODI Studio and Development Components
- Navigating ODI Studio: Designer, Topology, Operator, and Security panels.
- Projects, Models, and Datastores.
- Working with reverse-engineered metadata.
Designing Mappings and Interfaces
- Creating mappings via the graphical interface and ODI components.
- Utilizing procedures, variables, and packages within mappings.
- Strategies for error handling and data validation.
Knowledge Modules and ELT Execution
- Understanding Knowledge Modules (KMs) and their categories.
- Selecting and customizing KMs for various target systems.
- Performance considerations and push-down optimization techniques.
Topology, Security, and Connectivity
- Configuring physical and logical schemas as well as data servers.
- Agent types, configuration, and high availability fundamentals.
- Security setup: managing users, profiles, and repository protection.
Scheduling, Deployment, and Operational Management
- Packaging and deploying scenarios.
- Scheduling strategies and integration with external schedulers.
- Monitoring jobs and troubleshooting using Operator and Logs.
Advanced Techniques and Integration Patterns
- CDC patterns, incremental loading, and change data capture approaches.
- Integration with Big Data sources and Hadoop ecosystems.
- Best practices for creating modular, maintainable integration projects.
Hands-on Labs and Real-World Case Study
- End-to-end lab: designing, implementing, and deploying an ODI scenario.
- Performance tuning lab: analyzing and optimizing a slow mapping.
- Case study walkthrough: reviewing architecture decisions and key lessons learned.
Summary and Next Steps
- Reviewing key ODI concepts and integration design principles.
- Discussing production deployment strategies and optimization techniques.
- Exploring further learning paths and certification options.
Requirements
- A solid understanding of relational database concepts.
- Practical experience with SQL.
- Familiarity with ETL or general data integration concepts.
Audience
- ETL/Data integration developers.
- Data architects and engineers.
- DBAs and middleware engineers responsible for integration solutions.
35 Hours
Testimonials (1)
I found his methods very informative
